nano-banana-pro

Generate or edit images via Gemini 3 Pro Image (Nano Banana Pro).

7.23x

Quality

60%

Does it follow best practices?

Impact

94%

7.23x

Average score across 3 eval scenarios

Securityby

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./skills/nano-banana-pro/SKILL.md

Quality

Discovery

32%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is concise but too sparse. It identifies the core capability (image generation/editing) and the specific tool/model used, which provides some distinctiveness. However, it lacks a 'Use when...' clause, doesn't enumerate specific capabilities beyond generate/edit, and misses common user trigger terms like 'create image', 'photo', 'picture', etc.

Suggestions

Add a 'Use when...' clause specifying trigger scenarios, e.g., 'Use when the user asks to create, generate, edit, or modify images, photos, or illustrations.'

Include more natural trigger terms users would say: 'create image', 'make a picture', 'photo editing', 'AI-generated image', 'modify image'.

List more specific capabilities beyond just 'generate or edit', such as style application, image modification types, or supported use cases.

Dimension	Reasoning	Score
Specificity	Names the domain (image generation/editing) and two actions (generate, edit), but doesn't list more specific capabilities like style transfer, inpainting, resizing, format conversion, etc.	2 / 3
Completeness	Describes what it does (generate or edit images via a specific model) but completely lacks a 'Use when...' clause or any explicit trigger guidance, which per the rubric should cap completeness at 2, and since the 'what' is also thin, this lands at 1.	1 / 3
Trigger Term Quality	Includes 'generate' and 'edit images' which are natural terms, plus the model name 'Gemini 3 Pro Image' and 'Nano Banana Pro' which could help with specific requests. However, it misses common variations like 'create image', 'modify photo', 'picture', 'illustration', 'AI image generation'.	2 / 3
Distinctiveness Conflict Risk	The specific model name 'Gemini 3 Pro Image (Nano Banana Pro)' adds some distinctiveness, but 'generate or edit images' is broad enough to overlap with other image-related skills. The model name helps but the action scope is generic.	2 / 3
	Total	7 / 12 Passed

Implementation

87%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

This is a well-crafted, concise skill that provides immediately actionable commands for three distinct image generation/editing scenarios. Its main weakness is the lack of any validation or error-handling guidance—what to do if the API key is invalid, the script fails, or the output file isn't created. The structure and token efficiency are excellent for a skill of this scope.

Suggestions

Add a brief validation step after running the script, e.g., 'Verify the output file exists at the saved path; if the script reports an error, check that GEMINI_API_KEY is set correctly.'

Dimension	Reasoning	Score
Conciseness	Every line serves a purpose. No unnecessary explanations of what Gemini is or how image generation works. The notes section is tight and informative without padding.	3 / 3
Actionability	Provides fully executable, copy-paste-ready bash commands for all three use cases (generate, edit, multi-image). API key configuration is specific with exact config paths. Concrete resolution options and filename conventions are given.	3 / 3
Workflow Clarity	The three use cases are clearly presented with distinct commands, but there's no validation or error handling guidance. What happens if the API key is missing? What if the script fails? For a skill involving external API calls and file generation, a brief verification step (e.g., check the output file exists) would improve robustness.	2 / 3
Progressive Disclosure	For a simple, single-purpose skill under 50 lines, the content is well-organized with clear sections (Generate, Edit, Multi-image, API key, Notes). The script itself is referenced via bundled path, keeping the SKILL.md as a concise overview.	3 / 3
	Total	11 / 12 Passed

Validation

72%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 8 / 11 Passed

Validation for skill structure

Criteria	Description	Result
metadata_version	'metadata.version' is missing	Warning
metadata_field	'metadata' should map string keys to string values	Warning
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	8 / 11 Passed

Repository: deepgram/dglabs-deepclaw
Commit: ec8d4f8

Reviewed: about 9 hours ago

Table of Contents

Discovery Implementation Validation

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